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Author : Anonim
Publisher : Unknown
Page : 28 pages
File Size : 55,7 Mb
Release : 1970
Category : Agriculture
ISBN : UIUC:30112019254355
Author : United States. Department of Agriculture
Publisher : Unknown
Page : 454 pages
File Size : 45,5 Mb
Release : 1970
Category : Agriculture
ISBN : WISC:89037237948
Author : Anonim
Publisher : Unknown
Page : 236 pages
File Size : 49,5 Mb
Release : 1953
Category : Child welfare
ISBN : UCBK:C028877600
Author : Anonim
Publisher : Unknown
Page : 44 pages
File Size : 51,6 Mb
Release : 1989
Category : Agriculture
ISBN : UIUC:30112018393501
Author : United States. Department of Agriculture. Economic Research Service
Publisher : Unknown
Page : 28 pages
File Size : 49,9 Mb
Release : 1987
Category : Agriculture
ISBN : UFL:31262087160817
Author : Anonim
Publisher : Unknown
Page : 44 pages
File Size : 42,7 Mb
Release : 1987
Category : Agriculture
ISBN : MSU:31293011865569
Author : National Library of Medicine (U.S.)
Publisher : Unknown
Page : 1516 pages
File Size : 40,6 Mb
Release : 1984
Category : Medicine
ISBN : UOM:39015074114672
A keyword listing of serial titles currently received by the National Library of Medicine.
Author : Milton E. Madison
Publisher : Unknown
Page : 268 pages
File Size : 48,5 Mb
Release : 1994
Category : Agriculture
ISBN : OSU:32435080090814
Author : Dr. (Prof.) Nirdosh Agarwa,Dr. Ashish Kaushal
Publisher : Thakur Publication Private Limited
Page : 312 pages
File Size : 55,7 Mb
Release : 2021-01-05
Category : Education
ISBN : 9789354800757
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Author : Masanobu Taniguchi,Yoshihide Kakizawa
Publisher : Springer Science & Business Media
Page : 671 pages
File Size : 42,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461211624
The primary aim of this book is to provide modern statistical techniques and theory for stochastic processes. The stochastic processes mentioned here are not restricted to the usual AR, MA, and ARMA processes. A wide variety of stochastic processes, including non-Gaussian linear processes, long-memory processes, nonlinear processes, non-ergodic processes and diffusion processes are described. The authors discuss estimation and testing theory and many other relevant statistical methods and techniques.
Author : Anonim
Publisher : Unknown
Page : 212 pages
File Size : 55,7 Mb
Release : 1989
Category : Agriculture
ISBN : UCR:31210007145111
Author : Dr. V. C. Sinha,Dr. Alok Gupta,Dr. Jitendra Kumar Saxena
Publisher : SBPD Publications
Page : 466 pages
File Size : 41,7 Mb
Release : 2021-07-03
Category : Business & Economics
ISBN : 8210379456XXX
An excellent book for commerce students appearing in competitive, professional and other examinations. Business Statistics 1.Statistics : Concept, Nature and Limitations, 2.Statistics : Scope and Significance, 3.Types and Collection of Data, 4. Classification and Tabulation of Data, 5. Frequency Distribution, 6. Graphic Presentation of Data, 7. Measures of Central Tendency (Mean, Median, Mode), 8. Measures of Variation or Dispersion (Rang, Q. D., M. D. & S. D.), 9. Measures of Skewness, 10. Measures of Kurtosis, 11. Correlation, 12. Regression Analysis, 13. Probability Theory, 14. Probability Distributions (Binomial, Poisson and Normal), 15. Sampling Theory and Tests of Significance. 16. Appendix. SYLLABUS Unit I : Statistics : Concept, Significance & Limitation, Type of Data, Classification & Tabulation, Frequency Distribution & Graphical Representation. Unit II : Measures of Central Tendency (Mean, Median, Mode), Measures of Variation : Significance & Properties of a Good Measure of Variation : Range, Quartile Deviation, Mean Deviation and Standard Deviation, Measures of Skewness & Kurtosis. Unit III :Correlation : Significance of Correlation, Types of correlation, Simple Correlation, Scatter Diagram Method, Karl Pearson Coefficient of Correlation. Regression : Introduction, Regression Lines, Regression Equation & Regression Coefficient. Unit IV :Probability : Concept, Events, Addition Law, Conditional Probability, Multiplication Law & Baye’s Theorem [Simple Numerical], Probability Distribution : Binomial, Poisson and Normal. Unit V : Sampling Method of Sampling, Sampling and Non-Sampling Errors. Test of Hypothesis, Type-I and Type-II Errors, Large Sample Tests.
Author : Anonim
Publisher : Unknown
Page : 632 pages
File Size : 44,6 Mb
Release : 1955
Category : United States
ISBN : UFL:31262091080258
Author : Trevor Hastie,Robert Tibshirani,Jerome Friedman
Publisher : Springer Science & Business Media
Page : 545 pages
File Size : 40,8 Mb
Release : 2013-11-11
Category : Mathematics
ISBN : 9780387216065
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Author : United States. Department of Health and Human Services
Publisher : Unknown
Page : 410 pages
File Size : 44,6 Mb
Release : 2024-06-09
Category : Government publications
ISBN : STANFORD:36105219361271